Formatting Pandas Tables

Tools to format pandas tables for documentation and publication.

Format Transformers

Formatters and helper classes that will change the value in Dataframes with the goal of making them stylistic more pleasing. These are more complex transforms compared to what is possible via the pandas styling API.

FormatTransformer()

Formatting functions that can be applied to a DataFrame using apply_transformations.

Stylers

Functions that effect the styler of a dataframe. The helpers create functions that can be applied to the Styler object of a dataframe for various effects.

best_in_group_styler(groupby, columns[, style])	Style the best element in a column, after grouping by the index or another column.
border_after_group_styler(groupby[, style])	Add a border after each group in a DataFrame.
compare_to_threshold_styler(thresholds, ...)	Style the elements in a DataFrame that are above or below a threshold.
revalidation_table_styles(st, thresholds, ...)	Apply styles to a DataFrame appropriate for the revalidation.

Types

ValueWithMetadata(value[, metadata, precision])	A base class to represent a value with associated metadata.
CustomFormattedValueWithMetadata(value[, ...])	A custom object to represent a value with a range and stats results.
RevalidationInfo(threshold, higher_is_better)	Information required to determine the validity of a results in the context of the revalidation.